Adaptive interfaces for ubiquitous web access
Communications of the ACM - The Adaptive Web
Mastering Data Mining: The Art and Science of Customer Relationship Management
Mastering Data Mining: The Art and Science of Customer Relationship Management
A Context-Aware Decision Engine for Content Adaptation
IEEE Pervasive Computing
Device Independence and the Web
IEEE Internet Computing
On Exploring Aggregate Effect for Efficient Cache Replacement in Transcoding Proxies
IEEE Transactions on Parallel and Distributed Systems
Adapting Content for Wireless Web Services
IEEE Internet Computing
A Two-Level Distributed Architecture for Efficient Web Content Adaptation and Delivery
SAINT '05 Proceedings of the The 2005 Symposium on Applications and the Internet
Adapting Web Pages for Small-Screen Devices
IEEE Internet Computing
Adapting Web Content to Mobile User Agents
IEEE Internet Computing
Context-Aware Middleware for Resource Management in the Wireless Internet
IEEE Transactions on Software Engineering
User Modeling and User-Adapted Interaction
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In order to overcome the various constraints of wireless environments and provide content according to device specifications and user preference, research relating to content adaptation is gaining in significance. For content adaptation, existing research either prepares content in advance, a reflection of client types which may have access to server, or describes the adaptation rules for dynamic content conversion. However, these require a lot of effort from the content author or system developer, and prospecting the appearance of a new device is a difficult work in today's rapidly changing computing environment. This paper proposes an intelligent adaptation system that automatically extends adaptation rules. The system classifies users into basic categories, then dynamically converts content according to the rule mapping category, offering this result to the user. Then, the system monitors the user action, and performs learning based on this feedback. Moreover, the system has characteristics of offering more personalized content as well as reducing the response time due to reuse of the content generated by same group category. A prototype was implemented in order to evaluate the proposed system in terms of system maintainability, by automatic rule extension, correctness of generated rules, and response time. The effectiveness of the system is confirmed through the results.